[jira] [Assigned] (MAHOUT-1762) Pick up $SPARK_HOME/conf/spark-defaults.conf on startup

["Trevor Grant (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-1762?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Trevor Grant reassigned MAHOUT-1762:
------------------------------------

         Assignee: Trevor Grant  (was: Pat Ferrel)
    Fix Version/s:     (was: 0.12.0)
                   0.13.0

> Pick up $SPARK_HOME/conf/spark-defaults.conf on startup
> -------------------------------------------------------
>
>                 Key: MAHOUT-1762
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1762
>             Project: Mahout
>          Issue Type: Improvement
>          Components: spark
>            Reporter: Sergey Tryuber
>            Assignee: Trevor Grant
>             Fix For: 0.13.0
>
>
> [spark-defaults.conf|http://spark.apache.org/docs/latest/configuration.html#dynamically-loading-spark-properties] is aimed to contain global configuration for Spark cluster. For example, in our HDP2.2 environment it contains:
> {noformat}
> spark.driver.extraJavaOptions      -Dhdp.version=2.2.0.0–2041
> spark.yarn.am.extraJavaOptions     -Dhdp.version=2.2.0.0–2041
> {noformat}
> and there are many other good things. Actually it is expected that when a user starts Spark Shell, it will be working fine. Unfortunately this does not happens with Mahout Spark Shell, because it ignores spark configuration and user has to copy-past lots of options into _MAHOUT_OPTS_.
> This happens because [org.apache.mahout.sparkbindings.shell.Main|https://github.com/apache/mahout/blob/master/spark-shell/src/main/scala/org/apache/mahout/sparkbindings/shell/Main.scala] is executed directly in [initialization script|https://github.com/apache/mahout/blob/master/bin/mahout]:
> {code}
> "$JAVA" $JAVA_HEAP_MAX $MAHOUT_OPTS -classpath "$CLASSPATH" "org.apache.mahout.sparkbindings.shell.Main" $@
> {code}
> In contrast, in Spark shell is indirectly invoked through spark-submit in [spark-shell|https://github.com/apache/spark/blob/master/bin/spark-shell] script:
> {code}
> "$FWDIR"/bin/spark-submit --class org.apache.spark.repl.Main "$@"
> {code}
> [SparkSubmit|https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala] contains an additional initialization layer for loading properties file (see SparkSubmitArguments#mergeDefaultSparkProperties method).
> So there are two possible solutions:
> * use proper Spark-like initialization logic
> * use thin envelope like it is in H2O Sparkling Water ([sparkling-shell|https://github.com/h2oai/sparkling-water/blob/master/bin/sparkling-shell])



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